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Ccommunity-id-spec
An open standard for hashing network flows into identifiers, a.k.a "Community IDs".
WIntrusion-Detection-System-Using-Machine-Learning
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
Popularity
Repository stars198601Highest
7-day net stars——
Fork26162Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2024-09-232026-04-01
Maintenance notesNot verifiedNot verified
Repository created2018-02-012021-05-25
License & use
LicenseBSD-3-Clause · PermissiveMIT · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeNetwork securityNetwork security
TypeApps & systemsApps & systems
SubcategoryDeveloper toolsDeveloper tools
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguagePythonJupyter Notebook
About this projectAn open standard for hashing network flows into identifiers, a.k.a "Community IDs".Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
Repositorycorelight / community-id-specWestern-OC2-Lab / Intrusion-Detection-System-Using-Machine-Learning
Measured at2026-11-02 19:02 UTC2026-11-02 19:02 UTC
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Ranked by repository stars, one position per repository. Stars and forks are not user counts.